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Marquez G, Dechiraju H, Baniya P, Li H, Tebyani M, Pansodtee P, Jafari M, Barbee A, Orozco J, Teodorescu M, Rolandi M, Gomez M. Delivering biochemicals with precision using bioelectronic devices enhanced with feedback control. PLoS One 2024; 19:e0298286. [PMID: 38743674 PMCID: PMC11093312 DOI: 10.1371/journal.pone.0298286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 01/22/2024] [Indexed: 05/16/2024] Open
Abstract
Precision medicine endeavors to personalize treatments, considering individual variations in patient responses based on factors like genetic mutations, age, and diet. Integrating this approach dynamically, bioelectronics equipped with real-time sensing and intelligent actuation present a promising avenue. Devices such as ion pumps hold potential for precise therapeutic drug delivery, a pivotal aspect of effective precision medicine. However, implementing bioelectronic devices in precision medicine encounters formidable challenges. Variability in device performance due to fabrication inconsistencies and operational limitations, including voltage saturation, presents significant hurdles. To address this, closed-loop control with adaptive capabilities and explicit handling of saturation becomes imperative. Our research introduces an enhanced sliding mode controller capable of managing saturation, adept at satisfactory control actions amidst model uncertainties. To evaluate the controller's effectiveness, we conducted in silico experiments using an extended mathematical model of the proton pump. Subsequently, we compared the performance of our developed controller with classical Proportional Integral Derivative (PID) and machine learning (ML)-based controllers. Furthermore, in vitro experiments assessed the controller's efficacy using various reference signals for controlled Fluoxetine delivery. These experiments showcased consistent performance across diverse input signals, maintaining the current value near the reference with a relative error of less than 7% in all trials. Our findings underscore the potential of the developed controller to address challenges in bioelectronic device implementation, offering reliable precision in drug delivery strategies within the realm of precision medicine.
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Affiliation(s)
- Giovanny Marquez
- Applied Mathematics, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Harika Dechiraju
- Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Prabhat Baniya
- Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Houpu Li
- Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Maryam Tebyani
- Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Pattawong Pansodtee
- Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Mohammad Jafari
- Department of Earth and Space Sciences, Columbus State University, Columbus, GA, United States of America
| | - Alexie Barbee
- Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Jonathan Orozco
- Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Mircea Teodorescu
- Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Marco Rolandi
- Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
| | - Marcella Gomez
- Applied Mathematics, Baskin School of Engineering, University of California, Santa Cruz, CA, United States of America
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2
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Mahapatra S, Kumari R, Chandra P. Printed circuit boards: system automation and alternative matrix for biosensing. Trends Biotechnol 2024; 42:591-611. [PMID: 38052681 DOI: 10.1016/j.tibtech.2023.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/01/2023] [Accepted: 11/02/2023] [Indexed: 12/07/2023]
Abstract
Circuit integration has revolutionized the diagnostic sector by improving the sensing ability and rapidity of biosensors. Bioelectronics has led to the development of point-of-care (PoC) devices, offering superior performance compared with conventional biosensing systems. These devices have lower production costs, are smaller, and have greater reproducibility, enabling the construction of compact sensing modules. Flexible upgrades to the fabrication pattern of the printed circuit board (PCB) remains the most reliable and consistent means so far, offering portability, wearability, a lower detection limit, and smart output integration to these devices. This review summarizes the advances in PCB technology for biosensing devices for introducing automation and their emerging application as an alternative matrix material for detecting various analytes.
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Affiliation(s)
- Supratim Mahapatra
- Laboratory of Bio-Physio Sensors and Nanobioengineering, School of Biochemical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India
| | - Rohini Kumari
- Laboratory of Bio-Physio Sensors and Nanobioengineering, School of Biochemical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India
| | - Pranjal Chandra
- Laboratory of Bio-Physio Sensors and Nanobioengineering, School of Biochemical Engineering, Indian Institute of Technology (BHU), Varanasi, Uttar Pradesh 221005, India.
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3
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Park Y, Hernandez S, Hernandez CO, Schweiger HE, Li H, Voitiuk K, Dechiraju H, Hawthorne N, Muzzy EM, Selberg JA, Sullivan FN, Urcuyo R, Salama SR, Aslankoohi E, Knight HJ, Teodorescu M, Mostajo-Radji MA, Rolandi M. Modulation of neuronal activity in cortical organoids with bioelectronic delivery of ions and neurotransmitters. CELL REPORTS METHODS 2024; 4:100686. [PMID: 38218190 PMCID: PMC10831944 DOI: 10.1016/j.crmeth.2023.100686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 11/01/2023] [Accepted: 12/14/2023] [Indexed: 01/15/2024]
Abstract
Precise modulation of brain activity is fundamental for the proper establishment and maturation of the cerebral cortex. To this end, cortical organoids are promising tools to study circuit formation and the underpinnings of neurodevelopmental disease. However, the ability to manipulate neuronal activity with high temporal resolution in brain organoids remains limited. To overcome this challenge, we introduce a bioelectronic approach to control cortical organoid activity with the selective delivery of ions and neurotransmitters. Using this approach, we sequentially increased and decreased neuronal activity in brain organoids with the bioelectronic delivery of potassium ions (K+) and γ-aminobutyric acid (GABA), respectively, while simultaneously monitoring network activity. This works highlights bioelectronic ion pumps as tools for high-resolution temporal control of brain organoid activity toward precise pharmacological studies that can improve our understanding of neuronal function.
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Affiliation(s)
- Yunjeong Park
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Sebastian Hernandez
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA; Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Live Cell Biotechnology Discovery Lab, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Centro de Electroquímica y Energía Química (CELEQ), Universidad de Costa Rica, San José 11501 2060, Costa Rica
| | - Cristian O Hernandez
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Hunter E Schweiger
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Live Cell Biotechnology Discovery Lab, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Department of Molecular, Cellular and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Houpu Li
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Kateryna Voitiuk
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Department of Biomolecular Engineering, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Harika Dechiraju
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Nico Hawthorne
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA; Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Elana M Muzzy
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - John A Selberg
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Frederika N Sullivan
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Roberto Urcuyo
- Centro de Electroquímica y Energía Química (CELEQ), Universidad de Costa Rica, San José 11501 2060, Costa Rica
| | - Sofie R Salama
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Department of Molecular, Cellular and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Institute for the Biology of Stem Cells, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Elham Aslankoohi
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Heather J Knight
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA; Department of Molecular, Cellular and Developmental Biology, University of California, Santa Cruz, Santa Cruz, CA 95060, USA
| | - Mircea Teodorescu
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA; Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Institute for the Biology of Stem Cells, University of California, Santa Cruz, Santa Cruz, CA 95060, USA.
| | - Mohammed A Mostajo-Radji
- Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Live Cell Biotechnology Discovery Lab, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Institute for the Biology of Stem Cells, University of California, Santa Cruz, Santa Cruz, CA 95060, USA.
| | - Marco Rolandi
- Department of Electrical and Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064, USA; Genomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95060, USA; Institute for the Biology of Stem Cells, University of California, Santa Cruz, Santa Cruz, CA 95060, USA.
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4
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Baniya P, Tebyani M, Asefifeyzabadi N, Nguyen T, Hernandez C, Zhu K, Li H, Selberg J, Hsieh HC, Pansodtee P, Yang HY, Recendez C, Keller G, Hee WS, Aslankoohi E, Isseroff RR, Zhao M, Gomez M, Rolandi M, Teodorescu M. A system for bioelectronic delivery of treatment directed toward wound healing. Sci Rep 2023; 13:14766. [PMID: 37679425 PMCID: PMC10485133 DOI: 10.1038/s41598-023-41572-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/29/2023] [Indexed: 09/09/2023] Open
Abstract
The development of wearable bioelectronic systems is a promising approach for optimal delivery of therapeutic treatments. These systems can provide continuous delivery of ions, charged biomolecules, and an electric field for various medical applications. However, rapid prototyping of wearable bioelectronic systems for controlled delivery of specific treatments with a scalable fabrication process is challenging. We present a wearable bioelectronic system comprised of a polydimethylsiloxane (PDMS) device cast in customizable 3D printed molds and a printed circuit board (PCB), which employs commercially available engineering components and tools throughout design and fabrication. The system, featuring solution-filled reservoirs, embedded electrodes, and hydrogel-filled capillary tubing, is assembled modularly. The PDMS and PCB both contain matching through-holes designed to hold metallic contact posts coated with silver epoxy, allowing for mechanical and electrical integration. This assembly scheme allows us to interchange subsystem components, such as various PCB designs and reservoir solutions. We present three PCB designs: a wired version and two battery-powered versions with and without onboard memory. The wired design uses an external voltage controller for device actuation. The battery-powered PCB design uses a microcontroller unit to enable pre-programmed applied voltages and deep sleep mode to prolong battery run time. Finally, the battery-powered PCB with onboard memory is developed to record delivered currents, which enables us to verify treatment dose delivered. To demonstrate the functionality of the platform, the devices are used to deliver H[Formula: see text] in vivo using mouse models and fluoxetine ex vivo using a simulated wound environment. Immunohistochemistry staining shows an improvement of 35.86% in the M1/M2 ratio of H[Formula: see text]-treated wounds compared with control wounds, indicating the potential of the platform to improve wound healing.
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Affiliation(s)
- Prabhat Baniya
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
| | - Maryam Tebyani
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95060, USA
| | - Narges Asefifeyzabadi
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Tiffany Nguyen
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Cristian Hernandez
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Kan Zhu
- Department of Dermatology, School of Medicine, University of California Davis, Sacramento, CA, 95816, USA
- Department of Ophthalmology and Vision Science, University of California Davis, Sacramento, CA, 95817, USA
| | - Houpu Li
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - John Selberg
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Hao-Chieh Hsieh
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Pattawong Pansodtee
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95060, USA
| | - Hsin-Ya Yang
- Department of Dermatology, School of Medicine, University of California Davis, Sacramento, CA, 95816, USA
| | - Cynthia Recendez
- Department of Dermatology, School of Medicine, University of California Davis, Sacramento, CA, 95816, USA
- Department of Ophthalmology and Vision Science, University of California Davis, Sacramento, CA, 95817, USA
| | - Gordon Keller
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Wan Shen Hee
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Elham Aslankoohi
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Roslyn Rivkah Isseroff
- Department of Dermatology, School of Medicine, University of California Davis, Sacramento, CA, 95816, USA
| | - Min Zhao
- Department of Dermatology, School of Medicine, University of California Davis, Sacramento, CA, 95816, USA
- Department of Ophthalmology and Vision Science, University of California Davis, Sacramento, CA, 95817, USA
| | - Marcella Gomez
- Department of Applied Mathematics, University of California Santa Cruz, Santa Cruz, CA, 95064, USA
| | - Marco Rolandi
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
| | - Mircea Teodorescu
- Department of Electrical and Computer Engineering, University of California Santa Cruz, Santa Cruz, CA, 95064, USA.
- Genomics Institute, University of California Santa Cruz, Santa Cruz, CA, 95060, USA.
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5
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Lee SCH, Burke PJ. NanoStat: An open source, fully wireless potentiostat. Electrochim Acta 2022. [DOI: 10.1016/j.electacta.2022.140481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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6
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Salahandish R, Jalali P, Tabrizi HO, Hyun JE, Haghayegh F, Khalghollah M, Zare A, Berenger BM, Niu YD, Ghafar-Zadeh E, Sanati-Nezhad A. A compact, low-cost, and binary sensing (BiSense) platform for noise-free and self-validated impedimetric detection of COVID-19 infected patients. Biosens Bioelectron 2022; 213:114459. [PMID: 35728365 PMCID: PMC9195351 DOI: 10.1016/j.bios.2022.114459] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 06/06/2022] [Indexed: 11/19/2022]
Abstract
Electrochemical immuno-biosensors are one of the most promising approaches for accurate, rapid, and quantitative detection of protein biomarkers. The two-working electrode strip is employed for creating a self-supporting system, as a tool for self-validating the acquired results for added reliability. However, the realization of multiplex electrochemical point-of-care testing (ME-POCT) requires advancement in portable, rapid reading, easy-to-use, and low-cost multichannel potentiostat readers. The combined multiplex biosensor strips and multichannel readers allow for suppressing the possible complex matrix effect or ultra-sensitive detection of different protein biomarkers. Herein, a handheld binary-sensing (BiSense) bi-potentiostat was developed to perform electrochemical impedance spectroscopy (EIS)-based signal acquisition from a custom-designed dual-working-electrode immuno-biosensor. BiSense employs a commercially available microcontroller and out-of-shelf components, offering the cheapest yet accurate and reliable time-domain impedance analyzer. A specific electrical board design was developed and customized for impedance signal analysis of SARS-CoV-2 nucleocapsid (N)-protein biosensor in spiked samples and alpha variant clinical nasopharyngeal (NP) swab samples. BiSense showed limit-of-detection (LoD) down to 56 fg/mL for working electrode 1 (WE1) and 68 fg/mL for WE2 and reported with a dynamic detection range of 1 pg/mL to 10 ng/mL for detection of N-protein in spiked samples. The dual biosensing of N-protein in this work was used as a self-validation of the biosensor. The low-cost (∼USD$40) BiSense bi-potentiostat combined with the immuno-biosensors successfully detected COVID-19 infected patients in less than 10 min, with the BiSense reading period shorter than 1.5 min, demonstrating its potential for the realization of ME-POCTs for rapid and hand-held diagnosis of infections.
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Affiliation(s)
- Razieh Salahandish
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada; Department of Mechanical and Manufacturing Engineering, University of Calgary, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Pezhman Jalali
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Hamed Osouli Tabrizi
- Biologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J1P3, Canada
| | - Jae Eun Hyun
- Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Fatemeh Haghayegh
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Mahmood Khalghollah
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada; Department of Electrical and Software Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Azam Zare
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Byron M Berenger
- Department of Pathology and Laboratory Medicine, University of Calgary, 3535 Research Rd. Calgary, Alberta, T2L 1Y1, Canada; Alberta Public Health Laboratory, Alberta Precision Laboratories, 3330 Hospital Drive, Calgary, Alberta, T2N 4W4, Canada
| | - Yan Dong Niu
- Department of Ecosystem and Public Health, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, T2N 1N4, Canada.
| | - Ebrahim Ghafar-Zadeh
- Biologically Inspired Sensors and Actuators (BioSA), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, M3J1P3, Canada.
| | - Amir Sanati-Nezhad
- BioMEMS and Bioinspired Microfluidic Laboratory, Department of Biomedical Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada; Department of Mechanical and Manufacturing Engineering, University of Calgary, University of Calgary, Calgary, Alberta, T2N 1N4, Canada; Biomedical Engineering Graduate Program, University of Calgary, Calgary, Alberta, T2N 1N4, Canada.
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Anshori I, Mufiddin GF, Ramadhan IF, Ariasena E, Harimurti S, Yunkins H, Kurniawan C. Design of smartphone-controlled low-cost potentiostat for cyclic voltammetry analysis based on ESP32 microcontroller. SENSING AND BIO-SENSING RESEARCH 2022. [DOI: 10.1016/j.sbsr.2022.100490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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